AI Article Synopsis

  • The study investigates the quantitative trait loci (QTLs) related to the 100-seed weight (100-SW) of soybean, focusing on data collected from 2006 to 2010 using a specific population of soybean plants.
  • A total of 23 QTLs were identified across various linkage groups, with 9 found through composite interval mapping and 14 through multiple interval mapping.
  • By integrating existing QTL data, the analysis revealed 15 consensus QTLs, leading to a more precise minimum confidence interval of 1.52 cM, which could help in fine-mapping these traits in soybean.

Article Abstract

100-Seed weight (100-SW) of soybean is an important but complicated quantitative trait to yield. This study was focus on the quantitative trait loci (QTLs) of soybean 100-SW from 2006 to 2010, using recombination inbred lines population that was derived from a cross between Charleston and Dongnong 594. A total of 23 QTLs for 100-SW were detected in the linkage group C2, D1a, F, G and O. Nine QTLs were identified by composite interval mapping including one QTL with the minimum confidence interval (CI) of 1.3 cM, while 14 QTLs by multiple interval mapping. Furthermore, 94 reported QTLs of 100-SW were integrated with our QTL mapping results using BioMercator. As a result, 15 consensus QTLs and their corresponding markers were identified. The minimum CI was reduced to 1.52 cM by the combination of meta-analysis. These findings may merit fine-mapping of these QTL in soybean.

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Source
http://dx.doi.org/10.1007/s11033-012-1808-4DOI Listing

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